cff-version: 1.2.0
message: "Please cite the following works when using this software."
type: software
authors:
- given-names: "FastML Team"
title: "hls4ml"
version: "v1.2.0"
date-released: "2025-10-31"
doi: 10.5281/zenodo.1201549
repository-code: "https://github.com/fastmachinelearning/hls4ml"
url: "https://fastmachinelearning.org/hls4ml"
keywords:
  - python
  - machine-learning
  - FPGA
  - physics
  - tensorflow
  - pytorch
  - onnx
  - qonnx
license: "Apache-2.0"
abstract: |
  hls4ml is an open-source software-hardware codesign workflow
  to interpret and translate machine learning algorithms for
  implementations in hardware, including FPGAs and ASICs.
references:
  - type: article
    title: "Fast inference of deep neural networks on FPGAs with hls4ml"
    authors:
    - family-names: "Duarte"
      given-names: "Javier"
    - family-names: "Han"
      given-names: "Song"
    - family-names: "Harris"
      given-names: "Philip"
    - family-names: "Jindariani"
      given-names: "Sergo"
    - family-names: "Kreinar"
      given-names: "Edward"
    - family-names: "Kreis"
      given-names: "Benjamin"
    - family-names: "Ngadiuba"
      given-names: "Jennifer"
    - family-names: "Pierini"
      given-names: "Maurizio"
    - family-names: "Rivera"
      given-names: "Ryan"
    - family-names: "Tran"
      given-names: "Nhan"
    - family-names: "Wu"
      given-names: "Zhenbin"
    journal: "JINST"
    volume: "13"
    start: "P07027"
    doi: "10.1088/1748-0221/13/07/P07027"
    year: "2018"
    number: "07"
